Social sciences - Microsoft Research

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Project

Project Alexandria

The aim of Project Alexandria is to automatically extract business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organisation. This powers human-centric experiences that enable people…

Event

2nd Annual Autism at Work Research Workshop

Redmond, WA USA, May 29, 2019 Co-chairs: Hala Annabi, Andrew Begel, and Lawrence Fung The Second Annual Autism at Work Research Workshop, co-sponsored by The University of Washington Information School, Microsoft Research, and the Stanford…

Publication

Multi-Hot Compact Network Embedding

Chaozhuo Li, Zheng Lei, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li

CIKM | May 2019

Publication

More Than Money: Correlation Among Worker Demographics, Motivations, and Participation in Online Labor Market

Wei-Chu Chen, Siddharth Suri, Mary L. Gray

The 13th International AAAI Conference on Web and Social Media (ICWSM) | May 2019

Publication

Cumulative Activation in Social Networks

Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang

Science China Information Sciences | May 2019, Vol 62

Publication

Modeling and Change Detection for Count-weighted Multi-layer Networks

Hang Dong, Nan Chen, Kaibo Wang

Technometrics | May 2019

Publication

Politeness Strategies in the Design of Voice Agents for Mental Health

Joseph Newbold, Gavin Doherty, Sean Rintel, Anja Thieme

CHI 2019 Workshop | May 2019

Publication

Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services

Anna Brown, Alex Chouldechova, Emily Putnam-Hornstein, Andrew Tobin, Rhema Vaithianathan

2019 Human Factors in Computing Systems | May 2019

Publication

Meeting in the Middle: The Interpretation Gap Between People and Machines

Anastasia Kuzminykh, Sean Rintel

CHI 2019 | May 2019

CHI 2019 Workshop on Where is the Human? Bridging the Gap Between AI and HCI

Project Project

Publication

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage

Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang

CIKM | May 2019